Measuring Non-Typical Emotions for Mental Health: A Survey of Computational Approaches
arxiv(2024)
摘要
Analysis of non-typical emotions, such as stress, depression and engagement
is less common and more complex compared to that of frequently discussed
emotions like happiness, sadness, fear, and anger. The importance of these
non-typical emotions has been increasingly recognized due to their implications
on mental health and well-being. Stress and depression impact the engagement in
daily tasks, highlighting the need to understand their interplay. This survey
is the first to simultaneously explore computational methods for analyzing
stress, depression, and engagement. We discuss the most commonly used datasets,
input modalities, data processing techniques, and information fusion methods
used for the computational analysis of stress, depression and engagement. A
timeline and taxonomy of non-typical emotion analysis approaches along with
their generic pipeline and categories are presented. Subsequently, we describe
state-of-the-art computational approaches for non-typical emotion analysis,
including a performance summary on the most commonly used datasets. Following
this, we explore the applications, along with the associated challenges,
limitations, and future research directions.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要